Data Collection For Analysis

Data Prepration For Analysis

Analysing Uber Trips Rush By Week Days

From the bar plot above, it can be concluded that the highest number of Uber rides are booked on Thursdays, followed by Fridays and Wednesdays.

The rush is lowest on Sunday

Analysing Uber Trips Rush By Hour

We are analysing the the number of uber rides booked every hour of the day for all days of each month. For this, we first find the number of unique months in the data-set

We have the data for 6 unique months. So, we can create 3x2 subplots to plot 3 rows of 2 plots each

After careful observation of the histograms generated above, we can conclude that the rush for Uber rides is highest during the hours of 14:00 to 16:00. So, the rush is highest during the noon from 2:00 P.M. to 4:00 P.M.

Analysing The Month With Highest Number Of Uber Rides

The above plot clearly indicates that the highest number of cab bookings were made in the month of September, followed by the months of August and July.

Analysis Of Journey Of Each Day

The above histogram visualization ascertains that the highest number of rides were booked on the 30th day of each month, followed by 12th and 16th day of the month.

The above visual can also be verified using the seaborn library as shown below.

From the line graph above, it can be verified that the last number of rides were booked on the 31st of each month on average

Analysis Of Month-Wise Total Rides

The histograms above, we can draw the following conclusions:

Analysis Of Rush Every Hour

The pointplot above suggests that the rush is high during the morning hours of 6:00 AM to 9:00 AM and the evening hours of 3:00 PM to 5:00 PM.

The rush gradually declines during the night time hours of 9:00 PM to 12:00 AM

Which Base Number Gets Popular By Month?

From the line plot generated above the following inferences can be drawn:

Performing Cross Analysis

Cross Analysis by Hour And Weekday

The heatmap above signifies the rush is high during the hours of 4:00 PM to 6:00 PM during most days. The rush is lowest during the hours of 11:00 PM to 5:00 AM in the morning.

Cross Analysis by Hour And Day

The heatmap above signifies the rush is high during the hours of 3:00 PM to 6:00 PM during most days. The rush is lowest during the hours of 11:00 PM to 5:00 AM in the morning.

Cross Analysis by Month And Day

From the heatmap above, it is clear that the most number of rides are booked during the month of September and lowest during the month of April

Cross Analysis by Month And Weekday

The heatmap above shows that the rush is highest in September during Fridays, Saturdays and Tuesdays. Also, the rush is lowest during Sundays of all months.

Analysing Location Data Points

From the visual above, the highest number of rides are booked in the Midtown Manhattan to Lower Manhattan, followed by Upper Manhattan to Brooklyn Heights areas.

Automated Spatial Analysis of Ride Rush

From the visual above, the highest number of rides are booked in the Midtown Manhattan to Lower Manhattan, followed by Upper Manhattan to Brooklyn Heights areas.

Data Preparation for Uber Pickups in Each Month

From the bar plot above, we can analyze that the highest number of pickups were made in the months of June and May, while the lowest number of pickups were made in the month of January

Analysing Rush Per Hour in New York

The countplot above shows that the highest number of rides are booked during the hours of 5:00 PM to 10:00 PM

Analysing Rush in New York City Day and Hour-Wise

From the point plot above, we can draw the followig conclusions:

Which Base Number Has Most Active Vehicles?

The box plot above shows that the most popular base number is B02764

Which Base Number Has Most Trips?

The box plot above shows that the base number with most number of trips is B02764

How Trips Per Vehicle Increases/Decreases With Dates For Each Base Number?

The above plot shows that there are a lot of irregularities in the average number of trips per vehicle from the 1/1/15 to 3/1/15. The base numbers B02512 and B02765 show a continuously and relatively lower average number of trips per vehicle